Understanding Regional Ice Sheet Mass Balance: Remote Sensing, Regional Climate Models, and Deep Learning

• Main Author: Mohajerani, Yara
• Other Authors: Velicogna, Isabella
• Format: Other/Unknown Material
• Language: English
• Published: eScholarship, University of California 2019
• Subjects: Remote sensing; Geophysics; Geographic information science and geodesy; Deep Learning; GRACE; Ice Sheets; Machine Learning; Mass Balance; Regional Climate Models; Amery; Amery Ice Shelf; Antarctic; East Antarctica; Getz; Getz Ice Shelf; Greenland; Kangerlussuaq; The Antarctic; West Antarctica; Antarc*; Antarctica; glacier; Ice Sheet; Ice Shelf; Jakobshavn
• Online Access: https://escholarship.org/uc/item/7jj888jg

The Antarctic and Greenland ice sheets are experiencing significant mass change with heterogeneous spatial and temporal characteristics and global consequences such as sea level rise affecting millions of people in low-lying coastal areas. Advances in large-scale satellite remote-sensing, modeling,...